Urban Transfer Entropy across Scales


Roberto Murcio led our work on applying ideas of information theory across scales so that mutual information can be transmitted one way, rather than symmetrically. The paper has just appeared in PLOS One. And you can Download the PDF from here. The abstract follows:

“The morphology of urban agglomeration is studied here in the context of information exchange between different spatio-temporal scales. Urban migration to and from cities is characterised as non-random and following non-random pathways. Cities are multidimensional non-linear phenomena, so understanding the relationships and connectivity between scales is important in determining how the interplay of local/regional urban policies may affect the distribution of urban settlements. In order to quantify these relationships, we follow an information theoretic approach using the concept of Transfer Entropy. Our analysis is based on a stochastic urban fractal model, which mimics urban growing settlements and migration waves. The results indicate how different policies could affect urban morphology in terms of the information generated across geographical scales.”